Abstract : A novel strategy for automated screening of reconnaissance imagery has been formulated based on the exploitation of digital terrain data, map-to-image correspondence and explicit representation of map, terrain and sensor knowledge. These concepts address the emerging battlefield situation where the ability to acquire timely reconnaissance data from a diverse set of sensors far exceeds the capacity to interpret the imagery. Exploitation of digital map and intelligence data present important opportunities to simplify and improve computer-assisted and automated image analysis. One set of technical issues concerns implementation of map-to-image correspondence for various reconnaissance sensors including conventional mapping and reconnaissance cameras and synthetic aperture radar (SAR) systems. Here, a deterministic approach is used to implement geometric constraints based on rigorous sensor models, routine recovery of acquisition parameters and three-dimensional digital map data. Keywords include: Automated screening, Reconnaissance imagery exploitation, and Digital terrain data.